PGA Tour Golf

Potgieter, Aldrich vs Pendrith, Taylor Prediction

July 1, 2026

10,000 Monte Carlo simulations

Potgieter, Aldrich vs Pendrith, Taylor prediction for July 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Pendrith, Taylor 81 - Potgieter, Aldrich 86. Potgieter, Aldrich is favored with a 54.2% win probability. The spread is -0.14.

Pendrith, Taylor
+0.34
Strokes Gained / Round
VS H2H • John Deere Classic
Potgieter, Aldrich
+0.20
Strokes Gained / Round
Head-to-Head Win Probability
45.8%
54.2%
Pendrith, TaylorPotgieter, Aldrich
-106
Best Odds
+5.4%
Edge
1.0u MEDIUM
Sizing

Projected Points Range 10th – 90th percentile

Potgieter, Aldrich
798693
Pendrith, Taylor
748188

Tournament Context

Event
John Deere Classic
Course
TPC Deere Run
Field
144 players
Wind
14 mph
Temp
92°F
Conditions
harder (+0.8)

Player Profile — Potgieter, Aldrich

Strokes Gained
+0.20/round
Tour Avg
Course Fit
neutral
+0.009 SG adj
Expected Finish
86th / 144

Matchup Analysis

Potgieter, Aldrich
+0.20 SG
EF 86th
Skill Gap
-0.14 SG/round
tight edge for Pendrith, Taylor
Pendrith, Taylor
+0.34 SG
EF 81th · Tour Avg

Edge Breakdown

Our Model
54.2%
Books Say
51.5%
Edge
+5.4%

Potgieter, Aldrich vs Pendrith, Taylor: Model gives Potgieter, Aldrich 54.2% win probability vs 51.5% implied (+5.4% edge). Skill advantage: -0.14 SG/round. Expected finish: 86.

Edge Analysis

Moneyline
Potgieter, Aldrich 54.2%
+5.4 pts
Spread
-0.1
+5.4 pts
How this prediction was generated: This page shows output from the Olympus Bets PGA Tour Golf Monte Carlo engine. Each game is simulated 10,000 times using real-time team data, injury reports, and current odds. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →

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